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Footprint IQ Pro [TradingIQ]Hello Traders! Introducing "Footprint IQ Pro"! Footprint IQ Pro is an all-in-one Footprint indicator with several unique features. Features Calculated delta at tick level Calculated delta ratio at tick level Calculated buy volume at tick level Calculated sell volume at tick level Imbalance detection Stacked imbalance detection Stacked imbalance alerts Value area and POC detection Highest +net delta levels detection Lowest -net delta levels detection CVD by tick levels Customizable values area percentage The image above thoroughly outlines what each metric in the delta boxes shows! Metrics In Delta Boxes "δ:", "\nδ%:", "\n⧎: ", "\n◭: ", "\n⧩: " δ Delta (Difference between buy and sell volume) δ% Delta Ratio (Delta as a percentage of total volume) ⧎ Total Volume At Level (Total volume at the price area) ◭ Total Buy Volume At Level (Total buy volume at the price area) ⧩ Total Sell Volume At Level (total sell volume at the price area) Each metric comes with a corresponding symbol. That said, until you become comfortable with the symbol, you can also turn on the descriptive labels setting! The image above exemplifies the feature. The image above shows Footprint IQ's full power! Additionally, traders with an upgraded TradingView plan can make use of the "1-Second" feature Footprint IQ offers! The image above shows each footprint generated using 1-second volume data. 1-second data is highly granular compared to 1-minute data and, consequently, each footprint is exceptionally more accurate! Imbalance Detection Footprint IQ pro is capable of detecting user-defined delta imbalances. The image above further explains how Footprint IQ detects imbalances! The imbalance percentage is customizable in the settings, and is set to 70% by default. Therefore, When net delta is positive, and the positive net delta constitutes >=70% of the total volume, a buying imbalance will be detected (upwards triangle). When net delta is negative, and the negative net delta constitutes >=70% of the total volume, a buying imbalance will be detected (downwards triangle). Stacked Imbalance Detection In addition to imbalance detection, Footprint IQ Pro can also detect stacked imbalances! The image above shows Footprint IQ Pro detecting stacked imbalances! Stacked imbalances occur when consecutive imbalances at sequential price areas occur. Stacked imbalances are generally interpreted as significant price moves that are supported by volume, rather than a significant result with disproportionate effort. The criteria for stacked imbalance detection (how many imbalances must occur at sequential price areas) is customizable in the settings. The default value is three. Therefore, when three imbalances occur at sequential price areas, golden triangles will begin to print to show a stacked imbalance. Additionally, traders can set alerts for when stacked imbalances occur! Highest +Delta and Highest -Delta Levels In addition to being a fully-fledged Footprint indicator, Footprint IQ Pro goes one step further by detecting price areas where the greater +Delta and -Delta are! The image above shows price behavior near highest +Delta price areas detected by Footprint IQ! These +Delta levels are considered important as there has been strong interest from buyers at these price areas when they are traded at. It's expected that these levels can function as support points that are supported by volume. The image above shows a similar function for resistance points! Blue lines = High +Delta Detected Price Areas Red lines = High -Delta Detected Price Areas Value Area Detection Similar to traditional volume profile, Footprint IQ Pro displays the value area per bar. Green lines next to each footprint show the value area for the bar. The value area % is customizable in the settings. CVD Levels Footprint IQ Pro is capable of storing historical volume delta information to provide CVD measurements at each price area! The image above exemplifies this feature! When this feature is enabled, you will see the CVD of each price area, rather than the net delta! And that's it! Thank you so much to TradingView for offering the greatest charting platform for everyone to create on! If you have any feature requests you'd like to see for Footprint IQ, please feel free to share them with us! Thank you!
Indikator Pine Script®
oleh Trading-IQ
39
MAG 7 - Weighted Multi-Symbol Momentum + ExtrasOverview This indicator aggregates the percentage change of multiple symbols into a single “weighted momentum” value. You can set individual weights to emphasize or de-emphasize particular stocks. The script plots two key items: The default tickers in the script are: AAPL (Apple) AMZN (Amazon) NVDA (NVIDIA) MSFT (Microsoft) GOOGL (Alphabet/Google) TSLA (Tesla) META (Meta Platforms/Facebook) Raw Weighted Momentum (Histogram): Each bar represents the combined (weighted) percentage change across your chosen symbols for that bar. Bars are colored green if the momentum is above zero, or red if below zero. Smoothed Momentum (Yellow Line): An Exponential Moving Average (EMA) of the raw momentum for a smoother trend view. Helps visualize when short-term momentum is accelerating or decelerating relative to its average. Features Symbol Inputs: Up to seven user-defined tickers, with weights for each symbol. Smoothing Period: Set a custom lookback length to calculate the EMA (or switch to SMA in the code if you prefer). Table Display: A built-in table in the top-right corner lists each symbol’s real-time percentage change, plus the total weighted momentum. Alerts: Configure alerts for when the weighted momentum crosses above or below user-defined thresholds. Helps you catch major shifts in sentiment across multiple symbols. How To Use Select Symbols & Weights: In the indicator’s settings, specify the tickers you want to monitor and their corresponding weights. Weights default to 1 (equal weighting). Watch the Bars vs. Zero: Bars above zero mean a positive weighted momentum (the basket is collectively moving up). Bars below zero mean negative weighted momentum (the basket is collectively under pressure). Check the Yellow Line: The EMA of momentum. If the bars consistently stay above the line, short-term momentum is stronger than its recent average. If the bars dip below the line, momentum is weakening relative to its average. Review the Table: Quick snapshot of each symbol’s daily percentage change plus the total basket momentum, all color-coded red or green. Caution & Tips This indicator measures rate of change, not absolute price levels. A rising momentum can still be part of a larger downtrend. Always combine momentum readings with other technical and/or fundamental signals for confirmation. For better reliability, experiment with different smoothing lengths to suit your trading style (shorter for scalping, longer for swing or positional approaches).
Indikator Pine Script®
oleh BIGonTRADING
WillStop Pro [tradeviZion]WillStop Pro : A Step-by-Step Guide for Beginners to Master Trend Trading Welcome to an in-depth guide to the WillStop Pro indicator. This article will walk you through the key features, how to use them effectively, and how this tool can help you navigate the markets confidently. WillStop Pro is based on principles established by Larry Williams, a well-known figure in trading, and aims to help you manage trades more effectively without overcomplicating things. This guide will help you understand the basics of the WillStop Pro indicator, how to interpret its signals, and how to use it step-by-step to manage risk and identify opportunities in your trading journey. We will also cover the underlying logic and calculations for advanced users interested in more details. What is the WillStop Pro Indicator? The WillStop Pro indicator is a user-friendly tool that helps traders establish stop levels dynamically. It helps you figure out optimal points to enter or exit trades, while managing risk effectively during changing market conditions. The indicator tracks trending markets and sets price levels as stops for ongoing trades, making it suitable both for deciding when to enter and exit trades. The indicator is beginner-friendly because it simplifies complex calculations and presents the results visually. This allows traders to focus more on their decision-making process instead of spending time with complex analysis. WillStop Pro adapts to different market conditions, whether you're trading stocks, forex, commodities, or cryptocurrencies. It adjusts stop levels dynamically based on current market momentum, providing a practical way to manage both risk and reward. Another significant benefit of WillStop Pro is that it works well with other indicators. Beginners can use it on its own or combine it with other tools like moving averages or oscillators to form a comprehensive trading strategy. Whether you are trading daily or looking at longer-term trends, WillStop Pro helps you manage your trades effectively. Key Features of WillStop Pro Dynamic Stop Levels : WillStop Pro calculates real-time stop levels for both long (buy) and short (sell) positions. This helps you protect your profits and reduce risk. The stop levels adjust based on the current market environment, making them more adaptable compared to fixed stop levels. Advanced Stop Settings : There are optional settings to make the stop calculations more advanced, which take into consideration previous price movements to refine where the stops should be placed. These settings provide more precise control over your trades. Break Signals and Alerts : The indicator provides visual signals, like arrows, to show when a stop level has been broken. This makes it easier for you to identify possible reversals and understand when the market direction is changing. Comprehensive Table Display : A small table on the chart shows the current trend, the stop level, and whether advanced mode is active. This simple display provides an overview of the market, making decision-making easier. Based on Larry Williams' Methodology : WillStop Pro builds upon Larry Williams' ideas, which are designed to capture major market trends while managing risk effectively. It provides a systematic way to follow these strategies without requiring deep technical analysis skills. How Are Stop Levels Calculated? (For Advanced Users) The WillStop Pro indicator determines stop levels by evaluating highs, lows, and closing prices over a specific lookback period. It uses this information to identify key points that justify adjusting your stop level, and there are separate approaches for both long and short positions. Below, we explain the mathematical logic behind the stop calculations, along with some code snippets to give advanced users a clearer understanding. For Long Stops (buy positions): The indicator looks for the highest closing price within the lookback period and continues until it finds three valid bars that meet certain criteria. Stops are adjusted to skip bars that have consecutive upward closes to ensure that the stop is placed at a level that offers solid support. Specifically, the function iterates over recent bars to determine the highest closing value, and checks for specific conditions before finalizing the stop level. Here is an excerpt of the relevant code: getTrueLow(idx) => math.min(low , close ) findStopLevels() => float highestClose = close int highestCloseIndex = 0 for i = 0 to lookback if close > highestClose highestClose := close highestCloseIndex := i // Logic to adjust based on up close skipping int longCount = 0 int longCurrentIndex = highestCloseIndex while longCount < 3 and longCurrentIndex < 100 if not isInsideBar(longCurrentIndex) longCount += 1 longCurrentIndex += 1 // Determine the lowest low for the stop level float longStopLevel = high * 2 for i = searchIndex to highestCloseIndex longStopLevel := math.min(longStopLevel, getTrueLow(i)) // Apply offset longStopLevel := longStopLevel - (offsetTicks * tickSize) In this code snippet, the function findStopLevels() calculates the long stop level by first identifying the highest close within the lookback period and then finding a suitable support level while skipping certain conditions, such as inside bars or consecutive upward closes. Finally, the user-defined offset ( offsetTicks ) is applied to determine the stop level. For Short Stops (sell positions): Similarly, the indicator finds the lowest closing price within the lookback period and then identifies three bars that fit the conditions for a short stop. It avoids using bars with consecutive down closes to help find a more robust resistance level. Here's a relevant code snippet: getTrueHigh(idx) => math.max(high , close ) findStopLevels() => float lowestClose = close int lowestCloseIndex = 0 for i = 0 to lookback if close < lowestClose lowestClose := close lowestCloseIndex := i // Logic to adjust based on down close skipping int shortCount = 0 int shortCurrentIndex = lowestCloseIndex while shortCount < 3 and shortCurrentIndex < 100 if not isInsideBar(shortCurrentIndex) shortCount += 1 shortCurrentIndex += 1 // Determine the highest high for the stop level float shortStopLevel = 0 for i = searchIndex to lowestCloseIndex shortStopLevel := math.max(shortStopLevel, getTrueHigh(i)) // Apply offset shortStopLevel := shortStopLevel + (offsetTicks * tickSize) Here, findStopLevels() calculates the short stop level by finding the lowest closing price within the lookback period. It then determines the highest value that acts as a resistance level, excluding bars that do not fit certain criteria. Volume Confirmation for Alert Accuracy : To further enhance the stop level accuracy, volume is used as a confirmation filter. The average volume (volAvg) is calculated over a 20-period moving average, and alerts are only generated if the volume exceeds a defined threshold (volMultiplier). This ensures that price movements are significant enough to consider as meaningful signals. volAvg = ta.sma(volume, 20) isVolumeConfirmed() => result = requireVolumeConfirmation ? volume > (volAvg * volMultiplier) : true result This additional logic ensures that stop level breaks or adjustments are not triggered during periods of low trading activity, thus enhancing the reliability of the generated signals. These calculations are at the core of WillStop Pro's ability to determine dynamic stop levels that respond effectively to market movements, helping traders manage risk by placing stops at levels that make sense given historical price and volume data. How to Identify Opportunities with WillStop Pro WillStop Pro provides various signals that help you decide when to enter or exit a trade: When a Stop Level is Broken: If a stop level (support for long positions or resistance for short positions) is broken, it may indicate a reversal. WillStop Pro visually plots arrows whenever a stop level is breached, making it easy for you to see where changes might occur. This feature helps traders identify momentum shifts quickly. Support and Resistance Levels: The indicator plots support and resistance levels, which show key zones to watch for opportunities. These levels often act as psychological barriers in the market, where price action may either reverse or stall temporarily. Dynamic State Management: The indicator shifts between long and short states based on price action, providing real-time feedback. This helps traders stick to their trading plan without second-guessing the market. A major advantage of WillStop Pro is that it responds well to changing market conditions. By identifying when key support or resistance levels break, it allows you to adjust your strategies and react to new opportunities accordingly. Whether the market is trending strongly or staying within a range, WillStop Pro provides valuable information to help guide your trades. Setting Up Alerts Alerts are an important feature in trading, especially when you can’t be in front of your charts all the time. WillStop Pro has been enhanced to include flexible alert settings to help you stay on top of your trades without constantly monitoring the charts. Enable Alerts: There is a master switch to enable or disable all alerts. This way, you can control whether you want to be notified of events at any time. Alert Frequency: Choose between receiving alerts Once Per Bar or Once Per Bar Close . This helps you manage the frequency of alerts and decide if you need real-time updates or want confirmation after a bar closes. Break Alerts: These alerts notify you when a stop level has been broken. This can help you catch potential reversals or trading opportunities as soon as they happen. Strong Break Alerts: Alerts are available for strong breaks, which occur when the price breaks stop levels with confirmation based on additional price, volume, and momentum criteria. These alerts help identify significant shifts in the market. Level Change Alerts: These alerts tell you whenever a new stop level is calculated, keeping you updated about changes in market dynamics. You can set a Minimum Level Change % to ensure that alerts are only triggered when the stop level changes significantly. Require Volume Confirmation: You can opt to receive alerts only if the volume is above a certain threshold. This confirmation helps reduce false signals by ensuring that significant price changes are backed by increased trading activity. Volume Multiplier: The volume multiplier allows you to set a minimum volume requirement that must be met for an alert to trigger. This ensures that alerts are triggered only when there is sufficient trading interest. Here is a part of the updated alert logic that has been implemented in the indicator: // Alert on break conditions if alertsEnabled if alertOnBreaks if longStopBroken and isVolumeConfirmed() alert(createAlertMessage("Support Break - Short Signal", useAdvancedStops), alertFreq) if shortStopBroken and isVolumeConfirmed() alert(createAlertMessage("Resistance Break - Long Signal", useAdvancedStops), alertFreq) // Strong break alerts if alertOnStrongBreaks if longStopBroken and isStrongBreak(false) alert(createAlertMessage("Strong Support Break - Short Signal", useAdvancedStops), alertFreq) if shortStopBroken and isStrongBreak(true) alert(createAlertMessage("Strong Resistance Break - Long Signal", useAdvancedStops), alertFreq) // Level change alerts if alertOnLevelChanges and isSignificantChange() and isVolumeConfirmed() alert(createAlertMessage("Significant Level Change", useAdvancedStops), alertFreq) Setting alerts allows you to react to market changes without having to watch the charts constantly. Alerts are particularly helpful if you have other responsibilities and can’t be actively monitoring your trades all day. Understanding the Table Display The WillStop Pro indicator provides a status table that gives an overview of the current market state. Here’s what the table shows: Indicator Status: The table indicates whether the indicator is in a LONG or SHORT state. This helps you quickly understand the market trend. Stop Level: The active stop level is shown, whether it is acting as support (long) or resistance (short). This is important for knowing where to set your protective stops. Mode: The table also displays whether the advanced calculation mode is being used. This keeps you informed about how stop levels are being calculated and why they are positioned where they are. Empowering Messages: The table also includes motivational messages that rotate periodically, such as 'Trade with Clarity, Stop with Precision' and 'Let Winners Run, Cut Losses Short.' These messages are designed to keep you focused, motivated, and disciplined during your trading journey. The table is simple and easy to follow, helping you maintain discipline in your trading plan. By having all the essential information in one place, the table reduces the need to make quick, emotional decisions and promotes more thoughtful analysis. Tips for Using WillStop Pro Effectively Here are some practical ways to make the most of the WillStop Pro indicator: Start with Default Settings: If you’re new to the indicator, start with the default settings. This will give you an idea of how stop levels are determined and how they adjust to different markets. Experiment with Advanced Settings: Once you are comfortable, try using the advanced stop settings to see how they refine the stop levels. This can be useful in certain market conditions to improve accuracy. Use Alerts to Stay Updated: Set up alerts for when a stop level is broken or when new levels are calculated. This helps you take action without constantly watching the chart. Swing traders may find alerts especially helpful for monitoring longer-term moves. Monitor the Status Table: Keep an eye on the status table to understand the current market condition. Whether the indicator is in a LONG or SHORT state can help you make more informed decisions. Focus on Risk Management: WillStop Pro is designed to help you manage risk by dynamically adjusting stop levels. Make sure you are using these levels to protect your trades, especially during strong trends or volatile periods. Acknowledging Larry Williams' Influence WillStop Pro is inspired by the work of Larry Williams, who described the approach as one of his best trading techniques. His method aims to ride major market trends while reducing the risk of giving back gains during corrections. WillStop Pro builds upon this approach, adding features like advanced stop settings and visual alerts that make it easier to apply in modern markets. By using WillStop Pro, you are essentially leveraging a well-established trading strategy with additional tools that help improve its effectiveness. The indicator is designed to provide a reliable way to manage trades, stay on top of market conditions, and reduce emotional decision-making. Conclusion: Why WillStop Pro is Great for Beginners and Advanced Users The WillStop Pro is a powerful yet easy-to-use tool that helps traders ride trends while managing risk during market corrections. It can be used both for entering and exiting trades, and its visual features make it accessible for those who are new to trading, while the underlying logic appeals to advanced users seeking greater control and understanding. WillStop Pro is more than just a tool for setting stops. It is a comprehensive solution for managing trades, with features like dynamic stop levels, customizable alerts, and an easy-to-understand status table. This combination of simplicity and advanced features makes it suitable for beginners as well as more experienced traders. We hope this guide helps you get started with WillStop Pro and improves your trading confidence. Remember to start with the basics, explore the advanced features, and set alerts to stay informed without getting overwhelmed. Whether you’re just beginning or want to simplify your strategy, WillStop Pro is a valuable tool to have in your trading arsenal. Trading can be challenging, but the right tools make it more manageable. WillStop Pro helps you keep track of market movements, identify opportunities, and manage risk effectively. Give it a try and see how it can improve your trading decisions and help you navigate the markets more efficiently. By incorporating WillStop Pro into your strategy, you are following a systematic approach that has been refined over time. It’s designed to help you make sense of the markets, plan your trades, and manage your risks with greater clarity and confidence. Note: Always practice proper risk management and thoroughly test the indicator to ensure it aligns with your trading strategy. Past performance is not indicative of future results. Trade smarter with TradeVizion—unlock your trading potential today!
Indikator Pine Script®
oleh TradeVizion
8
Fixed Range FootprintFixed Range Footprint allows you to analyze the Footprint over a specified time period. By enabling the "Extend Right" option, the Footprint transforms into a classic mode, extending from the starting point to the most recent bar in real-time. Input Options: Group: Coordinates "Start range": Defines the starting coordinate for the Footprint period. "End range": Defines the ending coordinate for the Footprint period. Group: Row Size "Ticks Per Row": Directly sets the price step, calculated by multiplying the input value by syminfo.mintick. "Auto": Activates automatic mode for selecting the "Ticks Per Row" value. "Max row": Relevant in auto mode; it limits the number of rows within a bar. The automatic calculation for "Ticks Per Row" is based on the first available bar and applied to subsequent bars. Group: Imbalance "Imbalance Percent": Sets a percentage-based coefficient to determine price level Imbalance by comparing the diagonal buy price to the previous sell price. "Stacked levels": Defines the minimum number of consecutive Imbalance levels required to draw extended lines. Group: Support "Show Footprint Info": Toggles the display of Footprint information. Group: Value Area "Value Area": Sets the percentage for the Value Area. "POC": Toggles the Point of Control (POC). "VAH": Toggles the Value Area High (VAH). "VAL": Toggles the Value Area Low (VAL). "Show Volume Profile": Displays buy/sell volume at each level. Group: Alerts "Alert on New Imbalance": Enables alerts for the creation of new Imbalance levels. "Alert on New Imbalance Line": Enables alerts for the creation of new Imbalance lines. "Alert on Stop Past Imbalance Line": Enables alerts when price stops past an Imbalance line.
Indikator Pine Script®
oleh dboichenko
1
offline_detection Library Description: Boolean and alert functions that check if the latest user-selected symbol 'sym' has started printing. Alerts trigger by bar close. Usage: Mainly for 24/7 crypto exchanges. If an exchange you have alerts on goes offline, the alerts will not trigger. The offline alert is an alert to alert you of that. It's best to create the alerts while on "CRYPTOCAP:TOTAL" because it has the least downtime. The exchange you want alerts on is controlled by the 'sym' parameter. The alerts need to be enabled yourself. Limitations: The alerts may be triggered by no volume in a bar, so it's best to set it on timeframes higher than 1 minute. Alerts are not enabled in libraries so the functions must be imported or copied into another script. alert.freq cannot be changed by input because it becomes a series string in a function. dynamic_requests must be true to export functions using `request.*()` calls. Example: import NeoButane/offline_detection/1 thing = "COINBASE:BTCUSD" offline_detection.offlineAlertNoSpam(thing) offline_detection.onlineAlert(thing) warningsign() Library "offline_detection" Creates alerts for the user-selected symbol by checking if its latest bar is current by comparing it against another chart. isItDown(sym)   Checks if 'sym' is offline by requesting time of 'sym'.   Parameters:      sym (simple string) : (const string) The user-selected symbol in the form of "PREFIX:TICKER".   Returns: True if time of 'sym' is not available. isItDownNoSpam(sym)   Checks if 'sym' is offline by requesting time of 'sym' once.   Parameters:      sym (simple string) : (const string) The user-selected symbol in the form of "PREFIX:TICKER".   Returns: True if time of 'sym' is not available and it was available in the previous bar close. isItUp(sym)   Checks if 'sym' is online after being offline by using isItDown().   Parameters:      sym (simple string) : (const string) The user-selected symbol in the form of "PREFIX:TICKER".   Returns: True if time of 'sym' is available in the current bar but wasn't prior. offlineAlert(sym)   Checks if isItDown() is true.   Parameters:      sym (simple string) : (const string) The user-selected symbol in the form of "PREFIX:TICKER".   Returns: An alert when the symbol is not online and the time in UTC. This will continue triggering every bar close until the symbol is online. offlineAlertNoSpam(sym)   Checks if isItDown() is true.   Parameters:      sym (simple string) : (const string) The user-selected symbol in the form of "PREFIX:TICKER".   Returns: An alert when the symbol is not online and the time in UTC. onlineAlert(sym)   Checks if isItUp() is true.   Parameters:      sym (simple string) : (const string) The user-selected symbol in the form of "PREFIX:TICKER".   Returns: An alert when the symbol is now online and the time in UTC. warningsign()   Checks if the current chart is "CRYPTOCAP:TOTAL".   Returns: A reminder on the chart.
Perpustakaan Pine Script®
oleh NeoButane
Futures Settlement [NeoButane]Traders use settlement prices as both support/resistance and as a target for price to trend towards. The intention of this script is to provide possible entry and exit levels for swing and scalp trades by drawing horizontal lines of true settlement prices provided by TradingView. The settlement price, which is calculated daily, is used to determine the profit/loss of a trader's futures position. Prior to the daily close, price settlement of futures contracts is performed by taking the average of its traded price during a specified period of time. Usage The settlement prices, shown as horizontal lines, serve as support or resistance for entry or exit. There are hundreds of ways to combine this with favorite indicators, or it can be used as levels for pure price action traders. See how settlement price levels can be used in confluence with oscillators. Configuration Toggles to show each settlement. Reprint shows prior weeks or months after they've ended. Back-adjusted futures, which affect expired futures price history on continuous futures charts, should only be enabled on non-standard charts to match the user's chart settings. What this script does This script plots the daily, weekly, and monthly settlements for futures, including an average for the two most recent weekly or monthly settlements. The weekly settlement uses the last day of the week's daily settlement and the monthly settlement uses the last day of the month's daily settlement. For symbols that do not have settlement prices, which will be almost if not all symbols that are not futures, the settlement price instead becomes price at the last second before the daily/weekly/monthly close. In those cases, this script becomes a tool for automatically plotting daily/weekly/monthly closes. See below for two different bitcoin charts. The chart on top is a non-futures chart and a futures chart is at the bottom. Note that CME bitcoin futures settle 4 hours (1500 CST) before bitcoin's daily close (UTC). How this script works TradingView has a built-in ability to display daily settlements instead of the actual daily close. This can be enabled in chart settings for futures on the daily timeframe and there is an argument for Pine Script to do so as well. Because settlement times are different for multiple products during the day, the script uses the settlement price from daily timeframe, which is guaranteed to be correct because TradingView is wonderful. I accidentally found the undocumented backadjustment and settlement_at_close when I was trying to use ticker.inherit() to create a symbol with its daily close time changed to another symbol's, which I still haven't figured out. TradingView has since added documentation for both of them, but there's still an ambiguous 'etc.' in the description of ticker.inherit() so maybe there's more secret arguments... The script is able to be used on non-standard charts by using ticker.standard(), but back-adjustment will need to be changed by input to match chart settings. References Investopedia explanation of settlement price. www.investopedia.com Settlement prices for ES. www.cmegroup.com CME summary of settlement price. www.cmegroup.com How to enable settlement price as close for daily intervals in TradingView. This does not affect the use of this script. www.tradingview.com About back-adjustment for continuous futures charts in TradingView. www.tradingview.com
Indikator Pine Script®
oleh NeoButane
4
Lines of Chaos (ATR/ADR Levels)Lines of Chaos Indicator This script is designed to provide traders with ATR (Average True Range) and ADR (Average Daily Range) support and resistance levels. How it Works: Support and Resistance Lines: The script plots ATR/ADR-based support and resistance lines based on a moving average of the last ATR/ADR Length days, the previous day's close, and the current day's open. Changing the ATR/ADR Length value changes the number of days of data to average. EMA: The EMA is colored red when the ticker is potentially bearish. The EMA is colored green when the ticker is potentially bullish. Changing the EMA Length changes the number of data bars to average. Default Settings: The default settings are optimized for most trading environments. Key Features: ATR & ADR Calculation: You can use ATR, ADR, or both. ATR is recommended for most scenarios. Customizable Lengths: Adjust the ATR/ADR Length to refine the average calculation to your preference, with 14 being the standard value. EMA for Market Bias: The EMA helps determine the ticker bias. It is colored green when the market is above the average price and red when below. This allows you to more easily determine whether or not the ADR/ATR levels are valid. Versatile Usage: Suitable for various trading types, ensuring broad applicability across different market conditions. How to Use: Bounces off Levels: When the price bounces off a support/resistance level, the price will likely respect this level. This indicates that the price is unlikely to exceed the ticker's average volatility. Breakthroughs of Levels: When the price breaks through a support/resistance level, the price will likely continue beyond this level. This indicates that the price has moved beyond that ticker's average volatility.
Indikator Pine Script®
oleh skyzlimit
Volume Delta Candles [LuxAlgo]Volume Delta Candles provides insights about Intrabar trading activity in an easy-to-interpret manner. Lower timeframe or real-time data is used for displaying Volume Delta percentage against the total volume as a coloured bar part. The script also highlights the intrabar price with the maximum trading activity, as well as complementary information. 🔶 USAGE The tool focuses on intrabar volume to provide more information about the trading activity associated with a candle, without having to use an external volume indicator. Each indicator components is further explained below: 🔹 Volume Delta The volume delta is obtained by the difference between buy volume and sell volume, where buy volume is the volume associated with a bullish intrabar candle, and sell volume with a bearish intrabar candle. Positive volume delta is displayed with a green candle area, while negative delta is displayed with a red candle area. 🔹 Bar Coloring The script displays VD as a percentage of the whole, or from the candle half, depending on the setting ' Display '. Bars can be coloured as follows: Full (100%) when Display is set at ' Full Bar ' Half (50% or 100% of half a bar) when Display is set at ' Half Bar ' A negative VD (more bearish than bullish volume) will fill the bar from the top (or centre) of the bar towards the bottom, and a positive VD will fill a bar from the bottom (or centre) of the bar towards the top. A negative VD on a green candle will show a red-coloured VD against a green-bordered candle. On the other hand, a positive VD on a red candle will show a green-coloured VD against a red-bordered candle. Colours for VD sentiment opposite to the candle sentiment can be set differently if desired. 🔹 Highest Volume Price Level The script displays a white (black on light mode) line highlighting the intrabar price level with the highest volume. When ' Show Previous Max Volume Price ' is checked, a white (black on light mode) dot is displayed 1 bar to the right. 🔶 DETAILS 🔹 Tick/LTF data The above example used Lower TimeFrame (LTF) data. The following example uses real-time tick data ( Settings -> Data From ) Both options, LTF or tick data, will show a vertical dotted line where the data starts. 🔹 LTF settings When ' Data from ' LTF is chosen and ' Auto ' enabled, the LTF will be the nearest possible x times smaller TF than the current TF. When 'Premium' is disabled, the minimum TF will always be 1 minute to ensure TradingView plans lower than Premium don't get an error. Examples with current Daily TF (when Premium is enabled): 500 : 3 minute LTF 1500 (default): 1 minute LTF 5000: 30 seconds LTF (1 minute if Premium is disabled) 🔹 Notes Different LTFs give different data, which means different results; this doesn't mean it isn't correct; they are just different data sets. (LTF is displayed at the top right corner) To ensure maximum visibility of values, we recommend using Bars from the Bar's style menu. 🔶 SETTINGS Data from: Lower TimeFrame or real-time Tick data Resolution: LTF setting Auto + multiple: Adjusts the initial set resolution Premium: Enable when your TradingView plan is Premium or higher 🔹 Intrabar Data Colours Display: Full/Half bar Show previous max volume price: White/black dot, showing previous highest volume price level 🔹 Table Show TF: Show LTF at the top right corner Colour + table text size 🔹 Details Show details: label with 'Volume', 'Delta' (VD) and '%' See USAGE for more information
Indikator Pine Script®
oleh LuxAlgo
57
Historical Correlation [LuxAlgo]The Historical Correlation tool aims to provide the historical correlation coefficients of up to 10 pairs of user-defined tickers starting from a user-defined point in time. Users can choose to display the historical values as lines or the most recent correlation values as a heat map. 🔶 USAGE This tool provides historical correlation coefficients, the correlation coefficient between two assets highlight their linear relationship and is always within the range (-1, 1). It is a simple and easy to use statistical tool, with the following interpretation: Positive correlation (values close to +1.0): the two assets move in sync, they rise and fall at the same time. Negative correlation (values close to -1.0): the two assets move in opposite directions: when one goes up, the other goes down and vice versa. No correlation (values close to 0): the two assets move independently. The user must confirm the selection of the anchor point in order for the tool to be executed; this can be done directly on the chart by clicking on any bar, or via the date field in the settings panel. For the parameter Anchor period , the user can choose between the following values NONE, HOURLY, DAILY, WEEKLY, MONTHLY, QUARTERLY and YEARLY. If NONE is selected, there will be no resetting of the calculations, otherwise the calculations will start from the first bar of the new period. There is a wide range of trading strategies that make use of correlation coefficients between assets, some examples are: Pair Trading: Traders may wish to take advantage of divergences in the price movements of highly positively correlated assets; even highly positively correlated assets do not always move in the same direction; when assets with a correlation close to +1.0 diverge in their behavior, traders may see this as an opportunity to buy one and sell the other in the expectation that the assets will return to the likely same price behavior. Sector rotation: Traders may want to favor some sectors that are expected to perform in the next cycle, tracking the correlation between different sectors and between the sector and the overall market. Diversification: Traders can aim to have a diversified portfolio of uncorrelated assets. From a risk management perspective, it is useful to know the correlation between the assets in your portfolio, if you hold equal positions in positively correlated assets, your risk is tilted in the same direction, so if the assets move against you, your risk is doubled. You can avoid this increased risk by choosing uncorrelated assets so that they move independently. Hedging: Traders may want to hedge positions with correlated assets, from a hedging perspective, if you are long an asset, you can hedge going long a negative correlated asset or going short a positive correlated asset. Traders generally need to develop awareness, a key point is to be aware of the relationships between the assets we hold or trade, the historical correlation is an invaluable tool in our arsenal which allows us to make better informed decisions. On this chart we have an example of historical correlations for several futures markets. We can clearly see how positively correlated the Nasdaq100 and Dow30 are with the SP500 over the whole period, or how the correlation between the Euro and the SP500 falls from almost +85% to almost -4% since 2021. As we can see, correlations, like everything else in the market, are not static and vary over time depending on many factors, from macro to technical and everything in between. 🔹 Heatmap The chart above shows the tool with the default settings and the Drawing Mode set to 'HEATMAP'. We can see the current correlation between the assets, in this case the FX pairs. The highest positive correlation is +90% (+0.90) between EURUSD and GBPUSD. The highest negative correlation is -78% (-0.78) between EURUSD and USDJPY. The pair with no correlation is AUDUSD and EURCAD with 1% (0.01) On the above chart we can see the current correlations for the futures markets. Currently, the assets that are less correlated to the SP500 are NaturalGas and the Euro, the more positive correlations are Nasdaq100 and Dow20, and the more negative correlations are the Yen, Treasury Bonds and 10-Year Notes. 🔶 DETAILS 🔹 Anchor Period This chart shows the standard FX correlations with the Anchor Period set to `MONTHLY`. We can clearly see how the calculations restart with the new month, in this case we can clearly see the differences between the correlations from month to month. Let us look at the correlation coefficient between GBPUSD and USDJPY In January, their correlation started at close to -100%, rose to close to +50%, only to fall to close to 0% and remain there for the second half of the month. In February it was -90% in the first few days of the month and is now around -57%. And between AUDUSD and EURCAD Last month their correlation was negative for most of the month, reaching -70% and ending around -14%. This month their correlation has never gone below +21% and at the time of writing is close to +53%. 🔶 SETTINGS Anchor point: Starting point from which the tool is executed Anchor period: At the beginning of each new period, the tool will reset the calculations Pairs from 1 to 10: For each pair of tickers, you can: enable/disable the pair, select the color and specify the two tickers from which you wish to obtain the correlation 🔹 Style Drawing Mode: Output style, `LINES` will show the historical correlations as lines, `HEATMAP` will show the current correlations with a color gradient from green for correlations near 1 to red for correlations near -1.
Indikator Pine Script®
oleh LuxAlgo
4
Time & Sales (Tape) [By MUQWISHI]▋ INTRODUCTION : The “Time and Sales” (Tape) indicator generates trade data, including time, direction, price, and volume for each executed trade on an exchange. This information is typically delivered in real-time on a tick-by-tick basis or lower timeframe, providing insights into the traded size for a specific security. _______________________ ▋ OVERVIEW: _______________________ ▋ Volume Dynamic Scale Bar: It's a way for determining dominance on the time and sales table, depending on the selected length (number of rows), indicating whether buyers or sellers are in control in selected length. _______________________ ▋ INDICATOR SETTINGS: #Section One: Table Settings #Section Two: Technical Settings (1) Implement By: Retrieve data by   (1A) Lower Timeframe: Fetch data from the selected lower timeframe.   (1B) Live Tick: Fetch data in real-time on a tick-by-tick basis, capturing data as soon as it's observed by the system. (2) Length (Number of Rows): User able to select number of rows. (3) Size Type: Volume OR Price Volume. _____________________ ▋ COMMENT: The values in a table should not be taken as a major concept to build a trading decision. Please let me know if you have any questions. Thank you.
Indikator Pine Script®
oleh MUQWISHI
27
@tk · spectral█  OVERVIEW This script is an indicator that helps traders to identify the price difference between spot and futures of the current crypto plotted into the chart. It works in both types of markets, when the chart is plotting the crypto in spot market, it will compare with its respective futures ticker and vice-versa. If the current asset isn't a crypt ticker, the indicator will not be plotted into the chart. █  MOTIVATION Since crypto's derivative market is based on spot market asset's price, to calculate the arbitrage mechanisms that attempts to balance the asset price, this indicator can help traders to identify some spot and futures price divergence that can create an anomaly of funding rate and can push it to an extreme negative — or positive — rate. So, easing to track the price difference between both markets will bring more evidences to identify an artificial price move, specially in crypto assets with low market cap. █  CONCEPT The trading concept to use this indicator is the concept of the arbitrage machamism created by exchanges that calculates the funding rate based on spot and futures price difference that will vary from exchange to exchange. This strategy don't works alone. It needs to be aligned together with others indicators like Exponential Moving Averages, Chart Patterns, Support and Resistance, and so on... Even more confluences that you have, bigger are your chances to increase the probability for a successful trade. So, don't use this indicator alone. Compose a trading strategy and use it to improve your analysis. █  CUSTOMIZATION This indicator allows the trader to customize the following settings: GENERAL Text size   Changes the font size of price difference table to improve accessibility.   Type: string   Options: `tiny`, `small`, `normal`, `large`.   Default: `small` Position   Changes the position of price difference table.   Type: string   Options: `top_left`, `top_center`, `top_right`, `middle_left`, `middle_center`, `middle_right`, `bottom_left`, `bottom_center`, `bottom_right`.   Default: `bottom_right` Pair Quote   The ticker quote symbol that will be used to base the ticker comparison from spot to futures (e.g. BTCUSDT which `USDT` is the quote. ETHBTC which `BTC` is the quote).   Type: string   Default: USDT Spectrum Color   The color of the spectrum candles. Spectrum candles are the candles of the opposite market. If the current ticker is in the spot market, the spectrum candles will be the price of the futures market.   Type: color   Default: #434651 █  FUNCTIONS The indicator contains the following functions: stripStarts(src, str)   Strips a defined pattern from a string.   Parameters:     src: (string) Source string     str: (string) String pattern to be stripped from start of source string.   Returns: (string) Stripped string with matched regex pattern.
Indikator Pine Script®
oleh gabrielrtakeda
1
How To Input CSV List Of Symbol Data Used For ScreenerExample of how to input multiple symbols at once using a CSV list of ticker IDs. The input list is extracted into individual ticker IDs which are then each used within an example screener function that calculates their rate of change. The results for each of the rate of changes are then plotted. For code brevity this example only demonstrates using up to 4 symbols, but the logic is annotated to show how it can easily be expanded for use with up to 40 ticker IDs. The CSV list used for input may contain spaces or no spaces after each comma separator, but whichever format (space or no space) is used must be used consistently throughout the list. If the list contains any invalid symbols the script will display a red exclamation mark that when clicked will display those invalid symbols. If more than 4 ticker IDs are input then only the first 4 are used. If less than 4 ticker IDs are used then the unused screener calls will return `float(na)`. In the published chart the input list is using only 3 ticker IDs so there are only 3 plots shown instead of 4. NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
Indikator Pine Script®
oleh allanster
14
BankNifty_Bullish_Intraday The script uses following mechanism to give a signal of BUY if multiple parameters evaluated are all passed. ENTRY- 1. 5 min MACD should be more than its previous tick 2. 15 min MACD should be more than its previous tick 3. 60 min MACD should be more than its previous tick 4. ADX should be more than 12 5. RSI should be more than 60 6. Stochastic %k should have cross over with %d 7. Bollinger band upper band value should be more than previous tick EXIT If the 5 min bar price closes below 5 min EMA , it gives an exit signal.
Strategi Pine Script®
oleh makarandpatil
3
BankNifty_Bearish_Intraday The script uses following mechanism to give a signal of SELL if multiple parameters evaluated are all passed. ENTRY- 1. 5 min MACD should be less than its previous tick 2. 15 min MACD should be less than its previous tick 3. 60 min MACD should be less than its previous tick 4. ADX should be more than 12 5. RSI should be less than 40 6. Stochastic %k should have negative cross over with %d 7. Bollinger band lower band value should be less than previous tick EXIT If the 5 min bar price closes above 5 min EMA , it gives an exit signal.
Strategi Pine Script®
oleh makarandpatil
2
TPO Market Profile [Kioseff Trading]REPOST; SCRIPT WORKS!! Due to technical error, this script was republished! Thank you for your support (: Hello! This indicator comprises a real time TPO Market Profile! The script works on any timeframe 1 second or greater - the script calculates relative to the timeframe selected for your chart. The image above shows the 1-minute BTCUSD chart; 650 +/- tick levels are set. To see the script in full functionality - try using bar replay on a cryptocurrency 1-minute chart (start at the beginning of a regular hours session). Be sure to adjust the tick spread if necessary (: So far, the script's held up in real time - I've not had any array loop errors or timeouts. The TPO profile updates accordingly with changes in time / high and low prices. Letters are appended to the profile in real time. The image above shows configurations for the indicator. I plan to update the indicator quite a bit over the coming days - more to come. You can select the timeframe change the indicator accounts for. For instance, you can have set the indicator to reset every day, every 30 minutes, every 5 minutes, every week, month, etc. In the image above, I configured the indicator to recalculate every 3 months. Consequently, the indicator will record a TPO profile for three consecutive, reset, then record a TPO profile for the next 3 months. This setting makes the indicator compatible with any timeframe greater than 1 minute. You can also use a drag & drop time-start bar to modify the starting point for the market profile TPO calculation. The indicator hosts an option to auto calculate the tick spread between levels. However, as you switch timeframes and assets, sometimes, you'll have to manually set the tick range (: Thanks for checking it out; more to come! Sep 4 Release Notes: UPDATE: The indicator can work on seconds-based charts. The image above shows the indicator working on the 1-second chart. (Screenshot is old; characters are now numbered instead of strange unicode) Release Notes: Added value area + vah + val. Font update. Changed characters to numbered once the alphabet is exhausted. POC, VAH, and VAL label located left of the first bar of the interval. Initial balance range can be toggled. Spaced the characters (more legible). Quite a bit of aesthetic changes so check it out! Soon, I'll release a version of the script that shows VAH, POC, VAL, and TPO letters from previous sessions. I coded this feature into this indicator; however, it was removed due to load time complications. This feature will be its own script (: If the script has trouble loading please let me know (:
Indikator Pine Script®
oleh KioseffTrading
88
Delta Volume Channels [LucF]█  OVERVIEW This indicator displays on-chart visuals aimed at making the most of delta ​volume information. It can color bars and display two channels: one for delta ​volume, another calculated from the price levels of bars where delta ​volume divergences occur. Markers and alerts can also be configured using key conditions, and filtered in many different ways. The indicator caters to traders who prefer chart visuals over raw values. It will work on historical bars and in real time, using intrabar analysis to calculate delta ​volume in both conditions. █  CONCEPTS Delta Volume ​The ​volume delta concept divides a bar's ​volume in "up" and "down" ​volumes. The delta is calculated by subtracting down ​volume from up ​volume. Many calculation techniques exist to isolate up and down ​volume within a bar. The simplest techniques use the polarity of interbar price changes to assign their ​volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the ​volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which usually limits the historical depth of charts and the number of symbols for which tick data is available. This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating ​volume delta. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. TradingView's Volume Profile built-in indicators use it, as do the CVD - Cumulative ​Volume Delta Candles and CVD - Cumulative Volume Delta (Chart) indicators published from the TradingView account . My Volume Delta Columns Pro indicator also uses intrabar analysis. Other ​volume delta indicators such as my Realtime 5D Profile use realtime chart updates to achieve more precise ​volume delta calculations. Indicators of that type cannot be used on historical bars however; they only work in real time. This is the logic I use to assign intrabar ​volume to up or down slots:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's ​volume determined, the up volumes are added and the down volumes subtracted. The resulting value is ​volume delta for that chart bar, which can be used as an estimate of the buying/selling pressure on an instrument. Delta ​Volume Percent (DV%) This value is the proportion that delta ​volume represents of the total intrabar ​volume in the chart bar. Note that on some symbols/timeframes, the total intrabar ​volume may differ from the chart's ​volume for a bar, but that will not affect our calculations since we use the total intrabar ​volume. Delta ​Volume Channel The ​​DV channel is the space between two moving averages: the reference line and a DV%-weighted version of that reference. The reference line is a moving average of a type, source and length which you select. The DV%-weighted line uses the same settings, but it averages the DV%-weighted price source. The weight applied to the source of the reference line is calculated from two values, which are multiplied: DV% and the relative size of the bar's ​volume in relation to previous bars. The effect of this is that DV% values on bars with higher total ​volume will carry greater weight than those with lesser ​volume. The ​DV channel can be in one of four states, each having its corresponding color:  • Bull (teal): The DV%-weighted line is above the reference line.  • Strong bull (lime): The bull condition is fulfilled and the bar's close is above the reference line and both the reference and the DV%-weighted lines are rising.  • Bear (maroon): The DV%-weighted line is below the reference line.  • Strong bear (pink): The bear condition is fulfilled and the bar's close is below the reference line and both the reference and the DV%-weighted lines are falling. Divergences In the context of this indicator, a divergence is any bar where the slope of the reference line does not match that of the DV%-weighted line. No directional bias is assigned to divergences when they occur. Divergence Channel The divergence channel is the space between two levels (by default, the bar's low and high ) saved when divergences occur. When price has breached a channel and a new divergence occurs, a new channel is created. Until that new channel is breached, bars where additional divergences occur will expand the channel's levels if the bar's price points are outside the channel. Prices breaches of the divergence channel will change its state. Divergence channels can be in one of five different states:  • Bull (teal): Price has breached the channel to the upside.  • Strong bull (lime): The bull condition is fulfilled and the ​DV channel is in the strong bull state.  • Bear (maroon): Price has breached the channel to the downside.  • Strong bear (pink): The bear condition is fulfilled and the ​DV channel is in the strong bear state.  • Neutral (gray): The channel has not been breached. █  HOW TO USE THE INDICATOR Load the indicator on an active chart (see here if you don't know how). The default configuration displays:  • The ​DV channel, without the reference or DV%-weighted lines.  • The Divergence channel, without its level lines.  • Bar colors using the state of the ​DV channel. The default settings use an Arnaud-Legoux moving average on the close and a length of 20 bars. The DV%-weighted version of it uses a combination of DV% and relative ​volume to calculate the ultimate weight applied to the reference. The DV%-weighted line is capped to 5 standard deviations of the reference. The lower timeframe used to access intrabars automatically adjusts to the chart's timeframe and achieves optimal balance between the number of intrabars inspected in each chart bar, and the number of chart bars covered by the script's calculations. The Divergence channel's levels are determined using the high and low of the bars where divergences occur. Breaches of the channel require a bar's low to move above the top of the channel, and the bar's high to move below the channel's bottom. No markers appear on the chart; if you want to create alerts from this script, you will need first to define the conditions that will trigger the markers, then create the alert, which will trigger on those same conditions. To learn more about how to use this indicator, you must understand the concepts it uses and the information it displays, which requires reading this description. There are no videos to explain it. █  FEATURES The script's inputs are divided in four sections: "DV channel", "Divergence channel", "Other Visuals" and "Marker/Alert Conditions". The first setting is the selection method used to determine the intrabar precision, i.e., how many lower timeframe bars (intrabars) are examined in each chart bar. The more intrabars you analyze, the more precise the calculation of DV% results will be, but the less chart coverage can be covered by the script's calculations. DV Channel Here, you control the visibility and colors of the reference line, its weighted version, and the DV channel between them. You also specify what type of moving average you want to use as a reference line, its source and length. This acts as the ​DV channel's baseline. The DV%-weighted line is also a moving average of the same type and length as the reference line, except that it will be calculated from the DV%-weighted source used in the reference line. By default, the DV%-weighted line is capped to five standard deviations of the reference line. You can change that value here. This section is also where you can disable the relative ​volume component of the weight. Divergence Channel This is where you control the appearance of the divergence channel and the key price values used in determining the channel's levels and breaching conditions. These choices have an impact on the behavior of the channel. More generous level prices like the default low and high selection will produce more conservative channels, as will the default choice for breach prices. In this section, you can also enable a mode where an attempt is made to estimate the channel's bias before price breaches the channel. When it is enabled, successive increases/decreases of the channel's top and bottom levels are counted as new divergences occur. When one count is greater than the other, a bull/bear bias is inferred from it. Other Visuals You specify here:  • The method used to color chart bars, if you choose to do so.  • The display of a mark appearing above or below bars when a divergence occurs.  • If you want raw values to appear in tooltips when you hover above chart bars. The default setting does not display them, which makes the script faster.  • If you want to display an information box which by default appears in the lower left of the chart.   It shows which lower timeframe is used for intrabars, and the average number of intrabars per chart bar. Marker/Alert Conditions Here, you specify the conditions that will trigger up or down markers. The trigger conditions can include a combination of state transitions of the ​DV and the divergence channels. The triggering conditions can be filtered using a variety of conditions. Configuring the marker conditions is necessary before creating an alert from this script, as the alert will use the marker conditions to trigger. Markers only appear on bar closes, so they will not repaint. Keep in mind, when looking at markers on historical bars, that they are positioned on the bar when it closes — NOT when it opens. Raw values The raw values calculated by this script can be inspected using a tooltip and the Data Window. The tooltip is visible when you hover over the top of chart bars. It will display on the last 500 bars of the chart, and shows the values of ​DV, DV%, the combined weight, and the intermediary values used to calculate them. █  INTERPRETATION The aim of the ​DV channel is to provide a visual representation of the buying/selling pressure calculated using delta ​volume. The simplest characteristic of the channel is its bull/bear state. One can then distinguish between its bull and strong bull states, as transitions from strong bull to bull states will generally happen when buyers are losing steam. While one should not infer a reversal from such transitions, they can be a good place to tighten stops. Only time will tell if a reversal will occur. One or more divergences will often occur before reversals. The nature of the divergence channel's design makes it particularly adept at identifying consolidation areas if its settings are kept on the conservative side. A gray divergence channel should usually be considered a no-trade zone. More adventurous traders can use the ​DV channel to orient their trade entries if they accept the risk of trading in a neutral divergence channel, which by definition will not have been breached by price. If your charts are already busy with other stuff you want to hold on to, you could consider using only the chart bar coloring component of this indicator: At its simplest, one way to use this indicator would be to look for overlaps of the strong bull/bear colors in both the ​DV channel and a divergence channel, as these identify points where price is breaching the divergence channel when buy/sell pressure is consistent with the direction of the breach. I have highlighted all those points in the chart below. Not all of them would have produced profitable trades, but nothing is perfect in the markets. Also, keep in mind that the circles identify the visual you would be looking for — not the trade's entry level. █  LIMITATIONS  • The script will not work on symbols where no ​volume is available. An error will appear when that is the case.  • Because a maximum of 100K intrabars can be analyzed by a script, a compromise is necessary between the number of intrabars analyzed per chart bar   and chart coverage. The more intrabars you analyze per chart bar, the less coverage you will obtain.   The setting of the "Intrabar precision" field in the "DV channel" section of the script's inputs   is where you control how the lower timeframe is calculated from the chart's timeframe. █  NOTES Volume Quality If you use ​volume, it's important to understand its nature and quality, as it varies with sectors and instruments. My Volume X-ray indicator is one way you can appraise the quality of an instrument's intraday ​volume. For Pine Script™ Coders  • This script uses the new overload of the fill() function which now makes it possible to do vertical gradients in Pine. I use it for both channels displayed by this script.  • I use the new arguments for plot() 's `display` parameter to control where the script plots some of its values,   namely those I only want to appear in the script's status line and in the Data Window.  • I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual. █  THANKS To PineCoders . I have used their lower_tf library in this script, to manage the calculation of the LTF and intrabar stats, and their Time library to convert a timeframe in seconds to a printable form for its display in the Information box. To TradingView's Pine Script™ team. Their innovations and improvements, big and small, constantly expand the boundaries of the language. What this script does would not have been possible just a few months back. And finally, thanks to all the users of my scripts who take the time to comment on my publications and suggest improvements. I do not reply to all but I do read your comments and do my best to implement your suggestions with the limited time that I have.
Indikator Pine Script®
oleh LucF
50
Improved Z-ScoreStandard Z-Score scripts lack customization of parameters that I personally desire when doing quantitative analysis. This is an improved Z-Score Indicator to add to your charts that lets you customize various inputs. Below are the current features: 1) Ticker Type - which data would you like to use for the ticker input - Open, High, Low, Close, OHLC4 2) Ticker Smoothing? - sometimes if you have noisy data, it could be useful to smooth the ticker with a very fast EMA. If this is set to true, the ticker data will be smoothed with an EMA with period that you specify. 3) Ticker Smoothing Period - if Ticker Smoothing? is set to true, this will allow you to specify the smoothing period of the fast EMA - I usually use a 3-period for all of my quantitative analysis, if I am using smoothing. 4) MA Type - Z-Scores are normalized by subtracting a moving average. This allows you to select either a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) - the standard is to use SMA. 5) MA Period - the previous X number of bars that you would like to use for normalization. The default is set to 21 (this is roughly 1 month of trading days data for a daily chart). 5) Standard Deviation Period - Z-Scores are normalized by dividing by the standard deviation over X previous periods. This allows you the chance to customize. Default is 252 (this is roughly 1 year of trading days data for a daily chart). I can add more features if folks are interested, let me know! I hope you like the script. Best regards, -Jim Bosse-
Indikator Pine Script®
oleh jlb05013
3
myAlertsLibrary "myAlerts" My Alerts Functions - To use with autoview f_order(_price, _qty, _position, _account, _exchange, _i, i_qtyTypeOrder, typeMsg, syminfoticker)   - Write the entry order message   Parameters:      _price : - The order price      _qty : - The order quantity      _position : - The order side      _account : - The user account      _exchange : - The user exchange      _i : - Used for multi-accounts, this represents the index of accounts      i_qtyTypeOrder : - String used to set Thether or Bitcoin Type Orders      typeMsg : - True = Autoview; False = Metatrader      syminfoticker : - Ticker   Returns: - Returns the open order message f_stop(_stop_price, _slLimit_price, _account, _exchange, _i, i_delayOrders, typeMsg, syminfoticker)   - Write the stop order message   Parameters:      _stop_price : - The order stop price      _slLimit_price : - The order stop limit price      _account : - The user account      _exchange : - The user exchange      _i : - Used for multi-accounts, this represents the index of accounts      i_delayOrders : - Time in seconds to delay command on autoview      typeMsg : - True = Autoview; False = Metatrader      syminfoticker : - Ticker   Returns: - Returns the open order message f_take(_take_price, _account, _exchange, _i, i_delayOrders, typeMsg, syminfoticker)   - Write the stop order message   Parameters:      _take_price : - The order stop price      _account : - The user account      _exchange : - The user exchange      _i : - Used for multi-accounts, this represents the index of accounts      i_delayOrders : - Time in seconds to delay command on autoview      typeMsg : - True = Autoview; False = Metatrader      syminfoticker : - Ticker   Returns: - Returns the open order message f_update(_account, _exchange, _i, i_delayOrders, typeMsg, syminfoticker)   - Write the update order message   Parameters:      _account : - The user account      _exchange : - The user exchange      _i : - Used for multi-accounts, this represents the index of accounts      i_delayOrders : - Time in seconds to delay command on autoview      typeMsg : - True = Autoview; False = Metatrader      syminfoticker : - Ticker   Returns: - Returns the open order message f_exit(_account, _exchange, _i, i_delayOrders, typeMsg, syminfoticker)   - Write the exit order message   Parameters:      _account : - The user account      _exchange : - The user exchange      _i : - Used for multi-accounts, this represents the index of accounts      i_delayOrders : - Time in seconds to delay command on autoview      typeMsg : - True = Autoview; False = Metatrader      syminfoticker : - Ticker   Returns: - Returns the open order message f_hedge(_account, _exchange, _i, i_delayOrders, typeMsg, syminfoticker)   - Write the exit order message   Parameters:      _account : - The user account      _exchange : - The user exchange      _i : - Used for multi-accounts, this represents the index of accounts      i_delayOrders : - Time in seconds to delay command on autoview      typeMsg : - True = Autoview; False = Metatrader      syminfoticker : - Ticker   Returns: - Returns the open order message
Perpustakaan Pine Script®
oleh incryptowetrust100k
PlurexSignalIntegrationLibrary "PlurexSignalIntegration" Provides tools for integrating Strategies and Alerts into plurex.io signals. plurexMarket() Build a Plurex market from a base and quote asset symbol.   Returns: A market string that can be used in Plurex Signal messages. tickerToPlurexMarket() Builds simple Plurex market string from the syminfo   Returns: A market string that can be used in Plurex Signal messages. simpleMessage(secret, action, marketOverride) Builds simple Plurex Signal Messages   Parameters:      secret : The secret for your Signal on plurex      action : The action of the message. One of .      marketOverride : Optional, defaults to the syminfo for the ticker. Use the `plurexMarket` function to build your own.   Returns: A json string message that can be used in alerts to send messages to Plurex. executeStrategy(secret, openLong, openShort, closeLongs, closeShorts, marketOverride) Executes strategy actions with Plurex Signal messages   Parameters:      secret : The secret for your Signal on plurex      openLong : Strategy should open long if true, aggregated with other boolean values      openShort : Strategy should open short if true, aggregated with other boolean values      closeLongs : Strategy should close longs if true, aggregated with other boolean values      closeShorts : Strategy should close shorts if true, aggregated with other boolean values      marketOverride : Optional, defaults to the syminfo for the ticker. Use the `plurexMarket` function to build your own.
Perpustakaan Pine Script®
oleh FlintMonk
RVSILibrary "RVSI" This Library contains functions that calculate all types of " Relative Volume Strength Index (MZ RVSI ) " depending upon unique volume oscillator. Achieved RVSI value can be used for divergence detection in volume or to adapt dynamic length in Moving Averages or other functions. rvsi_tfs(vol_src, vol_Len, rvsiLen, _open, _close) Relative Volume Strength Index based on TFS Volume Oscillator   Parameters:      vol_src : Volume Source      vol_Len : Volume Legth for TFS Volume Oscillato      rvsiLen : Period of Relative Volume Strength Index      _open : Ticker Open Value      _close : Ticker Close Value   Returns: Relative Volume Strength Index value based on TFS Volume Oscillator rvsi_obv(vol_src, rvsiLen, _close) Relative Volume Strength Index based on On Balance Volume   Parameters:      vol_src : Volume Source to Calculate On Balance Volume      rvsiLen : Period of Relative Volume Strength Index      _close : Ticker Close Value   Returns: Relative Volume Strength Index value based on On Balance Volume rvsi_kvo(vol_src, FastX, SlowX, rvsiLen, _close) Relative Volume Strength Index based on Klinger Volume Oscillator   Parameters:      vol_src : Volume Source      FastX : Volume Fast Length      SlowX : Volume Slow Length      rvsiLen : Period of Relative Volume Strength Index      _close : Ticker Close Value   Returns: Relative Volume Strength Index value based on Klinger Volume Oscillator rvsi_vzo(vol_src, zLen, rvsiLen, _close) Relative Volume Strength Index based on Volume Zone Oscillator   Parameters:      vol_src : Volume Source      zLen : Volume Legth for Volume Zone Oscillator      rvsiLen : Period of Relative Volume Strength Index      _close : Ticker Close Value   Returns: Relative Volume Strength Index value based on Volume Zone Oscillator rvsi_cvo_obv(vol_src, ema1len, ema2len, rvsiLen) Relative Volume Strength Index based on Cumulative Volume Oscillator with On Balance Volume as Calculations Source   Parameters:      vol_src : Volume Source      ema1len : EMA Fast Length      ema2len : EMA Slow Length      rvsiLen : Period of Relative Volume Strength Index   Returns: Relative Volume Strength Index value based on Cumulative Volume Oscillator with On Balance Volume as Calculations Source rvsi_cvo_pvt(vol_src, FastX, SlowX, rvsiLen) Relative Volume Strength Index based on Cumulative Volume Oscillator with Price Volume Trend as Calculations Source   Parameters:      vol_src : Volume Source      FastX : EMA Fast Length      SlowX : EMA Slow Length      rvsiLen : Period of Relative Volume Strength Index   Returns: Relative Volume Strength Index value based on Cumulative Volume Oscillator with Price Volume Trend as Calculations Source rvsi_cvo_cvd(vol_src, FastX, SlowX, rvsiLen, _open, _close, _high, _low) Relative Volume Strength Index based on Cumulative Volume Oscillator with Cumulative Volume Delta as Calculations Source   Parameters:      vol_src : Volume Source      FastX : EMA Fast Length      SlowX : EMA Slow Length      rvsiLen : Period of Relative Volume Strength Index      _open : Ticker Open Value      _close : Ticker Close Value      _high : Ticker High Value      _low : Ticker Low Value   Returns: Relative Volume Strength Index value based on Cumulative Volume Oscillator with Cumulative Volume Delta as Calculations Source
Perpustakaan Pine Script®
oleh MightyZinger
2
Double wave-trend Oscillator Buy/Sell signalsBINANCE:ROSEUSDT This script attempts to use Wave Trend Oscillator's of different lengths in order to identify trade entries and exits for bullish trades. This indicator is strongly recommended to be used with volatile assets or on large time interval charts. You use this script by entering a trade when it signals a green block and exiting when it signals red although these signals could potentially be used as trend reversal signals instead. The script uses two wave trend oscillator's the lengths of which can be edited in the settings, but the general idea is that one is fast and one is slow and these indicate when to buy/sell when they crossover the overbought/sold lines. In the setting you can choose whether the fast or the slow line will be used for buy signal and the other is then used to signal selling. By default this will be ticked on indicating that the fast line crossing over the oversold level will be used for buy signals, if it is ticked off the slow line will be used. The other tickbox is for whether the line used for selling will signal when it first crosses over the overbought line or whether it should signal then it crosses back under the overbought line after having crossed over it, the default value is off indicating that it will signal when it crosses back under the overbought level. The overbought/sold levels should be tweaked on a per asset basis to get the best quality signals. The original code for the Wave Trend Oscillator comes from LazyBear and was modified and built on to create this indicator.
Indikator Pine Script®
oleh Mynicknameislion
17
SeasonalityThis is my attempt to bring an open source Seasonality indicator to TradingView. There are still outstanding issues I couldn't figure out, so I am hoping some more seasoned Pine Script coders can take the lead from here. What is Seasonality: www.investopedia.com How to Use The indicator plots the avg % change per bar for all complete years, up to 20 years back. It will only show in the daily resolution. For charts with more data, you need to scroll back a bit to get the line to display. Use Offset Adjust in the menu for charts that do not align perfectly to the start of the year. Use Smoothing in the menu to apply an EMA to the line. The panel shows YTD % gain, 5-day rolling seasonality, and 20-day rolling seasonality. Known Issues Does not work for tickers with over 10,000 bars of data. Some tickers do not align correctly. Only works with tickers that have ~252 bars a year. Areas for Improvement Figure out a way to use barssince() to get the precise amount of bars for each year. This will make the seasonality calculation and automatic offset more accurate. Have an option for calendar week, month, and year seasonality.
Indikator Pine Script®
oleh ChartingCycles
15
Webhook Starter Kit [HullBuster] Introduction This is an open source strategy which provides a framework for webhook enabled projects. It is designed to work out-of-the-box on any instrument triggering on an intraday bar interval. This is a full featured script with an emphasis on actual trading at a brokerage through the TradingView alert mechanism and without requiring browser plugins. The source code is written in a self documenting style with clearly defined sections. The sections “communicate” with each other through state variables making it easy for the strategy to evolve and improve. This is an excellent place for Pine Language beginners to start their strategy building journey. The script exhibits many Pine Language features which will certainly ad power to your script building abilities. This script employs a basic trend follow strategy utilizing a forward pyramiding technique. Trend detection is implemented through the use of two higher time frame series. The market entry setup is a Simple Moving Average crossover. Positions exit by passing through conditional take profit logic. The script creates ten indicators including a Zscore oscillator to measure support and resistance levels. The indicator parameters are exposed through 47 strategy inputs segregated into seven sections. All of the inputs are equipped with detailed tool tips to help you get started. To improve the transition from simulation to execution, strategy.entry and strategy.exit calls show enhanced message text with embedded keywords that are combined with the TradingView placeholders at alert time. Thereby, enabling a single JSON message to generate multiple execution events. This is genius stuff from the Pine Language development team. Really excellent work! This document provides a sample alert message that can be applied to this script with relatively little modification. Without altering the code, the strategy inputs can alter the behavior to generate thousands of orders or simply a few dozen. It can be applied to crypto, stocks or forex instruments. A good way to look at this script is as a webhook lab that can aid in the development of your own endpoint processor, impress your co-workers and have hours of fun. By no means is a webhook required or even necessary to benefit from this script. The setups, exits, trend detection, pyramids and DCA algorithms can be easily replaced with more sophisticated versions. The modular design of the script logic allows you to incrementally learn and advance this script into a functional trading system that you can be proud of. Design This is a trend following strategy that enters long above the trend line and short below. There are five trend lines that are visible by default but can be turned off in Section 7. Identified, in frequency order, as follows: 1. - EMA in the chart time frame. Intended to track price pressure. Configured in Section 3. 2. - ALMA in the higher time frame specified in Section 2 Signal Line Period. 3. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period. 4. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period. 5. - DEMA in the higher time frame specified in Section 2 Trend Line Period. The Blue, Green and Orange lines are signal lines are on the same time frame. The time frame selected should be at least five times greater than the chart time frame. The Purple line represents the trend line for which prices above the line suggest a rising market and prices below a falling market. The time frame selected for the trend should be at least five times greater than the signal lines. Three oscillators are created as follows: 1. Stochastic - In the chart time frame. Used to enter forward pyramids. 2. Stochastic - In the Trend period. Used to detect exit conditions. 3. Zscore - In the Signal period. Used to detect exit conditions. The Stochastics are configured identically other than the time frame. The period is set in Section 2. Two Simple Moving Averages provide the trade entry conditions in the form of a crossover. Crossing up is a long entry and down is a short. This is in fact the same setup you get when you select a basic strategy from the Pine editor. The crossovers are configured in Section 3. You can see where the crosses are occurring by enabling Show Entry Regions in Section 7. The script has the capacity for pyramids and DCA. Forward pyramids are enabled by setting the Pyramid properties tab with a non zero value. In this case add on trades will enter the market on dips above the position open price. This process will continue until the trade exits. Downward pyramids are available in Crypto and Range mode only. In this case add on trades are placed below the entry price in the drawdown space until the stop is hit. To enable downward pyramids set the Pyramid Minimum Span In Section 1 to a non zero value. This implementation of Dollar Cost Averaging (DCA) triggers off consecutive losses. Each loss in a run increments a sequence number. The position size is increased as a multiple of this sequence. When the position eventually closes at a profit the sequence is reset. DCA is enabled by setting the Maximum DCA Increments In Section 1 to a non zero value. It should be noted that the pyramid and DCA features are implemented using a rudimentary design and as such do not perform with the precision of my invite only scripts. They are intended as a feature to stress test your webhook endpoint. As is, you will need to buttress the logic for it to be part of an automated trading system. It is for this reason that I did not apply a Martingale algorithm to this pyramid implementation. But, hey, it’s an open source script so there is plenty of room for learning and your own experimentation. How does it work The overall behavior of the script is governed by the Trading Mode selection in Section 1. It is the very first input so you should think about what behavior you intend for this strategy at the onset of the configuration. As previously discussed, this script is designed to be a trend follower. The trend being defined as where the purple line is predominately heading. In BiDir mode, SMA crossovers above the purple line will open long positions and crosses below the line will open short. If pyramiding is enabled add on trades will accumulate on dips above the entry price. The value applied to the Minimum Profit input in Section 1 establishes the threshold for a profitable exit. This is not a hard number exit. The conditional exit logic must be satisfied in order to permit the trade to close. This is where the effort put into the indicator calibration is realized. There are four ways the trade can exit at a profit: 1. Natural exit. When the blue line crosses the green line the trade will close. For a long position the blue line must cross under the green line (downward). For a short the blue must cross over the green (upward). 2. Alma / Linear Regression event. The distance the blue line is from the green and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 6 and relies on the period and length set in Section 2. A long position will exit on an upward thrust which exceeds the activation threshold. A short will exit on a downward thrust. 3. Exponential event. The distance the yellow line is from the blue and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 3 and relies on the period and length set in the same section. 4. Stochastic event. The purple line stochastic is used to measure overbought and over sold levels with regard to position exits. Signal line positions combined with a reading over 80 signals a long profit exit. Similarly, readings below 20 signal a short profit exit. Another, optional, way to exit a position is by Bale Out. You can enable this feature in Section 1. This is a handy way to reduce the risk when carrying a large pyramid stack. Instead of waiting for the entire position to recover we exit early (bale out) as soon as the profit value has doubled. There are lots of ways to implement a bale out but the method I used here provides a succinct example. Feel free to improve on it if you like. To see where the Bale Outs occur, enable Show Bale Outs in Section 7. Red labels are rendered below each exit point on the chart. There are seven selectable Trading Modes available from the drop down in Section 1: 1. Long - Uses the strategy.risk.allow_entry_in to execute long only trades. You will still see shorts on the chart. 2. Short - Uses the strategy.risk.allow_entry_in to execute short only trades. You will still see long trades on the chart. 3. BiDir - This mode is for margin trading with a stop. If a long position was initiated above the trend line and the price has now fallen below the trend, the position will be reversed after the stop is hit. Forward pyramiding is available in this mode if you set the Pyramiding value in the Properties tab. DCA can also be activated. 4. Flip Flop - This is a bidirectional trading mode that automatically reverses on a trend line crossover. This is distinctively different from BiDir since you will get a reversal even without a stop which is advantageous in non-margin trading. 5. Crypto - This mode is for crypto trading where you are buying the coins outright. In this case you likely want to accumulate coins on a crash. Especially, when all the news outlets are talking about the end of Bitcoin and you see nice deep valleys on the chart. Certainly, under these conditions, the market will be well below the purple line. No margin so you can’t go short. Downward pyramids are enabled for Crypto mode when two conditions are met. First the Pyramiding value in the Properties tab must be non zero. Second the Pyramid Minimum Span in Section 1 must be non zero. 6. Range - This is a counter trend trading mode. Longs are entered below the purple trend line and shorts above. Useful when you want to test your webhook in a market where the trend line is bisecting the signal line series. Remember that this strategy is a trend follower. It’s going to get chopped out in a range bound market. By turning on the Range mode you will at least see profitable trades while stuck in the range. However, when the market eventually picks a direction, this mode will sustain losses. This range trading mode is a rudimentary implementation that will need a lot of improvement if you want to create a reliable switch hitter (trend/range combo). 7. No Trade. Useful when setting up the trend lines and the entry and exit is not important. Once in the trade, long or short, the script tests the exit condition on every bar. If not a profitable exit then it checks if a pyramid is required. As mentioned earlier, the entry setups are quite primitive. Although they can easily be replaced by more sophisticated algorithms, what I really wanted to show is the diminished role of the position entry in the overall life of the trade. Professional traders spend much more time on the management of the trade beyond the market entry. While your trade entry is important, you can get in almost anywhere and still land a profitable exit. If DCA is enabled, the size of the position will increase in response to consecutive losses. The number of times the position can increase is limited by the number set in Maximum DCA Increments of Section 1. Once the position breaks the losing streak the trade size will return the default quantity set in the Properties tab. It should be noted that the Initial Capital amount set in the Properties tab does not affect the simulation in the same way as a real account. In reality, running out of money will certainly halt trading. In fact, your account would be frozen long before the last penny was committed to a trade. On the other hand, TradingView will keep running the simulation until the current bar even if your funds have been technically depleted. Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that the endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to. Webhook Integration The TradingView alerts dialog provides a way to connect your script to an external system which could actually execute your trade. This is a fantastic feature that enables you to separate the data feed and technical analysis from the execution and reporting systems. Using this feature it is possible to create a fully automated trading system entirely on the cloud. Of course, there is some work to get it all going in a reliable fashion. Being a strategy type script place holders such as {{strategy.position_size}} can be embedded in the alert message text. There are more than 10 variables which can write internal script values into the message for delivery to the specified endpoint. Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that my endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to. Here is an excerpt of the fields I use in my webhook signal: "broker_id": "kraken", "account_id": "XXX XXXX XXXX XXXX", "symbol_id": "XMRUSD", "action": "{{strategy.order.action}}", "strategy": "{{strategy.order.id}}", "lots": "{{strategy.order.contracts}}", "price": "{{strategy.order.price}}", "comment": "{{strategy.order.alert_message}}", "timestamp": "{{time}}" Though TradingView does a great job in dispatching your alert this feature does come with a few idiosyncrasies. Namely, a single transaction call in your script may cause multiple transmissions to the endpoint. If you are using placeholders each message describes part of the transaction sequence. A good example is closing a pyramid stack. Although the script makes a single strategy.close() call, the endpoint actually receives a close message for each pyramid trade. The broker, on the other hand, only requires a single close. The incongruity of this situation is exacerbated by the possibility of messages being received out of sequence. Depending on the type of order designated in the message, a close or a reversal. This could have a disastrous effect on your live account. This broker simulator has no idea what is actually going on at your real account. Its just doing the job of running the simulation and sending out the computed results. If your TradingView simulation falls out of alignment with the actual trading account lots of really bad things could happen. Like your script thinks your are currently long but the account is actually short. Reversals from this point forward will always be wrong with no one the wiser. Human intervention will be required to restore congruence. But how does anyone find out this is occurring? In closed systems engineering this is known as entropy. In practice your webhook logic should be robust enough to detect these conditions. Be generous with the placeholder usage and give the webhook code plenty of information to compare states. Both issuer and receiver. Don’t blindly commit incoming signals without verifying system integrity. Setup The following steps provide a very brief set of instructions that will get you started on your first configuration. After you’ve gone through the process a couple of times, you won’t need these anymore. It’s really a simple script after all. I have several example configurations that I used to create the performance charts shown. I can share them with you if you like. Of course, if you’ve modified the code then these steps are probably obsolete. There are 47 inputs divided into seven sections. For the most part, the configuration process is designed to flow from top to bottom. Handy, tool tips are available on every field to help get you through the initial setup. Step 1. Input the Base Currency and Order Size in the Properties tab. Set the Pyramiding value to zero. Step 2. Select the Trading Mode you intend to test with from the drop down in Section 1. I usually select No Trade until I’ve setup all of the trend lines, profit and stop levels. Step 3. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale). Remember that the profit is taken as a conditional exit not a fixed limit. The actual profit taken will almost always be greater than the amount specified. The stop loss, on the other hand, is indeed a hard number which is executed by the TradingView broker simulator when the threshold is breached. Step 4. Apply the appropriate value to the Tick Scalar field in Section 1. This value is used to remove the pipette from the price. You can enable the Summary Report in Section 7 to see the TradingView minimum tick size of the current chart. Step 5. Apply the appropriate Price Normalizer value in Section 1. This value is used to normalize the instrument price for differential calculations. Basically, we want to increase the magnitude to significant digits to make the numbers more meaningful in comparisons. Though I have used many normalization techniques, I have always found this method to provide a simple and lightweight solution for less demanding applications. Most of the time the default value will be sufficient. The Tick Scalar and Price Normalizer value work together within a single calculation so changing either will affect all delta result values. Step 6. Turn on the trend line plots in Section 7. Then configure Section 2. Try to get the plots to show you what’s really happening not what you want to happen. The most important is the purple trend line. Select an interval and length that seem to identify where prices tend to go during non-consolidation periods. Remember that a natural exit is when the blue crosses the green line. Step 7. Enable Show Event Regions in Section 7. Then adjust Section 6. Blue background fills are spikes and red fills are plunging prices. These measurements should be hard to come by so you should see relatively few fills on the chart if you’ve set this up as intended. Section 6 includes the Zscore oscillator the state of which combines with the signal lines to detect statistically significant price movement. The Zscore is a zero based calculation with positive and negative magnitude readings. You want to input a reasonably large number slightly below the maximum amplitude seen on the chart. Both rise and fall inputs are entered as a positive real number. You can easily use my code to create a separate indicator if you want to see it in action. The default value is sufficient for most configurations. Step 8. Turn off Show Event Regions and enable Show Entry Regions in Section 7. Then adjust Section 3. This section contains two parts. The entry setup crossovers and EMA events. Adjust the crossovers first. That is the Fast Cross Length and Slow Cross Length. The frequency of your trades will be shown as blue and red fills. There should be a lot. Then turn off Show Event Regions and enable Display EMA Peaks. Adjust all the fields that have the word EMA. This is actually the yellow line on the chart. The blue and red fills should show much less than the crossovers but more than event fills shown in Step 7. Step 9. Change the Trading Mode to BiDir if you selected No Trades previously. Look on the chart and see where the trades are occurring. Make adjustments to the Minimum Profit and Stop Offset in Section 1 if necessary. Wider profits and stops reduce the trade frequency. Step 10. Go to Section 4 and 5 and make fine tuning adjustments to the long and short side. Example Settings To reproduce the performance shown on the chart please use the following configuration: (Bitcoin on the Kraken exchange) 1. Select XBTUSD Kraken as the chart symbol. 2. On the properties tab set the Order Size to: 0.01 Bitcoin 3. On the properties tab set the Pyramiding to: 12 4. In Section 1: Select “Crypto” for the Trading Model 5. In Section 1: Input 2000 for the Minimum Profit 6. In Section 1: Input 0 for the Stop Offset (No Stop) 7. In Section 1: Input 10 for the Tick Scalar 8. In Section 1: Input 1000 for the Price Normalizer 9. In Section 1: Input 2000 for the Pyramid Minimum Span 10. In Section 1: Check mark the Position Bale Out 11. In Section 2: Input 60 for the Signal Line Period 12. In Section 2: Input 1440 for the Trend Line Period 13. In Section 2: Input 5 for the Fast Alma Length 14. In Section 2: Input 22 for the Fast LinReg Length 15. In Section 2: Input 100 for the Slow LinReg Length 16. In Section 2: Input 90 for the Trend Line Length 17. In Section 2: Input 14 Stochastic Length 18. In Section 3: Input 9 Fast Cross Length 19. In Section 3: Input 24 Slow Cross Length 20. In Section 3: Input 8 Fast EMA Length 21. In Section 3: Input 10 Fast EMA Rise NetChg 22. In Section 3: Input 1 Fast EMA Rise ROC 23. In Section 3: Input 10 Fast EMA Fall NetChg 24. In Section 3: Input 1 Fast EMA Fall ROC 25. In Section 4: Check mark the Long Natural Exit 26. In Section 4: Check mark the Long Signal Exit 27. In Section 4: Check mark the Long Price Event Exit 28. In Section 4: Check mark the Long Stochastic Exit 29. In Section 5: Check mark the Short Natural Exit 30. In Section 5: Check mark the Short Signal Exit 31. In Section 5: Check mark the Short Price Event Exit 32. In Section 5: Check mark the Short Stochastic Exit 33. In Section 6: Input 120 Rise Event NetChg 34. In Section 6: Input 1 Rise Event ROC 35. In Section 6: Input 5 Min Above Zero ZScore 36. In Section 6: Input 120 Fall Event NetChg 37. In Section 6: Input 1 Fall Event ROC 38. In Section 6: Input 5 Min Below Zero ZScore In this configuration we are trading in long only mode and have enabled downward pyramiding. The purple trend line is based on the day (1440) period. The length is set at 90 days so it’s going to take a while for the trend line to alter course should this symbol decide to node dive for a prolonged amount of time. Your trades will still go long under those circumstances. Since downward accumulation is enabled, your position size will grow on the way down. The performance example is Bitcoin so we assume the trader is buying coins outright. That being the case we don’t need a stop since we will never receive a margin call. New buy signals will be generated when the price exceeds the magnitude and speed defined by the Event Net Change and Rate of Change. Feel free to PM me with any questions related to this script. Thank you and happy trading! CFTC RULE 4.41 These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.
Strategi Pine Script®
oleh tradingtudi
10